sequence-of-DTFT-analysis

用C语言编写的QAM调制解调程序，调试通过。(Written in C language with QAM modulation and demodulation process, through debugging.)

说明：  DMC,用matlab的M文件做的动态矩阵预测仿真的例子(DMC, with the M-file matlab to do the dynamic matrix of forecast simulation examples)

matlab实用程序 弹出式菜单的引用，通过matlab应用软件来实现这一功能(matlab utility pop-up menu reference, through matlab software to achieve this function)

an Adaptive Fuzzy Filter for Restoring Highly Corrupted Images by Histogram Estimation

基于matlab的指纹库指纹识别设计，matlab源码和指纹库。(Matlab-based fingerprint identification fingerprint database design, matlab source code and fingerprint database.)

胡广书编写的数字信号处理算法实现的所有源代码,需要的下吧(matlab for dsp Algorithm realization )

本程序为信号频率计算中的pisarenko算法M文件(This procedure for the calculation of signal frequency pisarenko algorithm M-file)

说明：  盲源分离FastICA、matalab程序，(FAST KERNEL ICA | |--------------------| Version 1.0- February 2007 Copyright 2007 Stefanie Jegelka, Hao Shen, Arthur Gretton This package contains a Matlab implementation of the Fast Kernel ICA algorithm as described in [1]. Kernel ICA is based on minimizing a kernel measure of statistical independence, namely the Hilbert-Schmidt norm of the covariance operator in feature space (see [3]: this is called HSIC). Given an (n x m) matrix W of n samples from m mixed sources, the goal is to find a demixing matrix X such that the dependence between the estimated unmixed sources X *W is minimal. FastKICA uses an approximate Newton method to perfom this optimization. For more information on the algorithm, read [1], and for more information on HSIC, refer to [3]. The functions chol_gauss and amariD are taken from and based on, respectively, code from Francis Bach (available at http://cmm.ensmp.fr/~bach/kernel-ica/index.htm). The derivative is com)

digital signal processing solution

英文书籍，介绍自适应滤波的matlab编程(the aim of this book is to present an introduction to optimum filtering)